Aderant transforms cloud operations with Amazon Quick

TL;DR

• Aderant deployed Amazon Quick to unify search across six disparate vendor systems, reducing information retrieval time by 90 percent.
• The implementation automated documentation workflows via Amazon Quick Flows, cutting knowledge base article creation time from one hour to 15 minutes (75 percent efficiency gain).
• The solution expanded from a 38-person Cloud Engineering team pilot to 86 additional Product Support staff within four months of the initial October 2025 deployment.
• The system utilizes MCP servers and pre-built integrations to connect Confluence, SharePoint, Git, Jira, Teams, and QuickSight without requiring custom UI development.
• Real-world testing demonstrated the tool's ability to synthesize hours of meeting transcripts and ticket history into actionable timelines during critical infrastructure incidents.

Why It Matters

This case study demonstrates how mid-sized engineering teams can overcome information fragmentation without lengthy custom development cycles. By leveraging pre-built integrations and MCP servers, organizations can achieve operational efficiency in weeks rather than months. It highlights a practical application of AI in cloud operations that prioritizes unified search and automated documentation, directly addressing the friction caused by scattered knowledge bases in complex enterprise environments.

Key Data

• Search speed improvement: 90 percent faster search times achieved by unifying six systems.
• Documentation time reduction: Article creation time reduced from 60 minutes to 15 minutes (75 percent savings).
• Manual search baseline: Prior to implementation, manual searches consumed 30 to 45 minutes per task.
• Team expansion: Initial 38-person pilot expanded to include 86 additional team members by February 2026.
• System count: The solution integrates six core knowledge systems plus three MCP servers.
• Ticket volume: The team handles more than 200 support tickets daily.
• Deployment timeline: Full deployment and Chrome extension rollout completed by November 2025, starting from an October 2025 pilot.

Technical Details

• Unified Search Interface: The CloudOps Helper bot enables natural language queries across Confluence, SharePoint, Git repositories, Jira, Microsoft Teams, and QuickSight dashboards.
• Integration Architecture: The system connects six major systems and three Model Context Protocol (MCP) servers using pre-built integrations, allowing operational status within weeks.
• Security and Access: The platform utilizes built-in security management supporting Okta SSO and IAM, eliminating the need for custom access controls.
• Workflow Automation: Amazon Quick Flows automate knowledge base article creation with built-in duplicate detection, maintaining quality through a human-in-the-loop approval process.
• Analytical Capabilities: Amazon Quick Research is used for on-demand root cause analysis and pattern discovery, while Amazon Quick Spaces consolidates knowledge bases. Integrated QuickSight dashboards monitor Amazon CloudWatch alarms and tenant health.

Industry Insight

• Rapid Deployment Strategy: Enterprises should prioritize pre-built integrations and MCP servers over custom development to accelerate AI adoption in operations, as evidenced by Aderant's weeks-long implementation timeline.
• Proactive Knowledge Management: Analyzing bot usage patterns and query topics can serve as a diagnostic tool for documentation gaps, allowing teams to proactively update knowledge bases based on actual user needs rather than intuition.
• Human-in-the-Loop Necessity: In critical operational environments, AI automation of documentation should always include human review stages to ensure accuracy and prevent the propagation of erroneous technical data into shared repositories.

zon Quick implementation access client application data?
A: No, the CloudOps Helper analyzes only Aderant’s internal operational and infrastructure data, strictly limited to AWS infrastructure and CloudOps team resources, and does not access or analyze any client application data or business information.

Q: How long did it take to become operational after the initial deployment?
A: Aderant began its pilot in October 2025 and completed full deployment and Chrome extension rollout by November 2025, becoming operational within weeks rather than the months typically required for custom development.

Q: What specific tools were used to analyze meeting transcripts during the critical networking issue?
A: The CloudOps Helper bot used the Microsoft Teams MCP Server to access meeting transcripts and the Jira integration to pull information from related tickets, synthesizing the engagement history into a chronological timeline within minutes.